My experience is in public health trying to connect client demand(requests signal problems they need our help with), complaints, and knowledge outputs to demonstrate system-level value. Currently doing it manually in Excel as a proof of concept before proposing a model-driven architecture. The manual version already surfaces patterns that havent been formally connected before which is both the argument for building it and the evidence that it works.
Yes in different ways. Often how the value is measured is very strange as - "this is the effort when we do it in spreadsheet manually". To be honest, it is always an argumentation against manual effort while insight effects (rather from OLAP or visual insights) can be measured best if the reporting already exists. What is your experience here?
My experience is in public health trying to connect client demand(requests signal problems they need our help with), complaints, and knowledge outputs to demonstrate system-level value. Currently doing it manually in Excel as a proof of concept before proposing a model-driven architecture. The manual version already surfaces patterns that havent been formally connected before which is both the argument for building it and the evidence that it works.
Have you ever explored enterprise reporting and mapping business value with models?
Yes in different ways. Often how the value is measured is very strange as - "this is the effort when we do it in spreadsheet manually". To be honest, it is always an argumentation against manual effort while insight effects (rather from OLAP or visual insights) can be measured best if the reporting already exists. What is your experience here?